Emergence of Chaos in Evolving Volterra Ecosystems

1998 ◽  
pp. 197-214 ◽  
Author(s):  
Daniel M. Dubois
Keyword(s):  
2018 ◽  
pp. 317-378
Author(s):  
Pier Luigi Gentili
Keyword(s):  

Quantum ◽  
2021 ◽  
Vol 5 ◽  
pp. 486
Author(s):  
Thomás Fogarty ◽  
Miguel Ángel García-March ◽  
Lea F. Santos ◽  
Nathan L. Harshman

Interacting quantum systems in the chaotic domain are at the core of various ongoing studies of many-body physics, ranging from the scrambling of quantum information to the onset of thermalization. We propose a minimum model for chaos that can be experimentally realized with cold atoms trapped in one-dimensional multi-well potentials. We explore the emergence of chaos as the number of particles is increased, starting with as few as two, and as the number of wells is increased, ranging from a double well to a multi-well Kronig-Penney-like system. In this way, we illuminate the narrow boundary between integrability and chaos in a highly tunable few-body system. We show that the competition between the particle interactions and the periodic structure of the confining potential reveals subtle indications of quantum chaos for 3 particles, while for 4 particles stronger signatures are seen. The analysis is performed for bosonic particles and could also be extended to distinguishable fermions.


2021 ◽  
Author(s):  
Mrinal Kanti Das ◽  
Lal Mohan Saha

Emergence of chaos and complex behavior in real and physical systems has been discussed within the framework of nonlinear dynamical systems. The problems investigated include complexity of Child’s swing dynamics , chaotic neuronal dynamics (FHN model), complex Food-web dynamics, Financial model (involving interest rate, investment demand and price index) etc. Proper numerical simulations have been carried out to unravel the complex dynamics of these systems and significant results obtained are displayed through tables and various plots like bifurcations, attractors, Lyapunov exponents, topological entropies, correlation dimensions, recurrence plots etc. The significance of artificial neural network (ANN) framework for time series generation of some dynamical system is suggested.


2007 ◽  
Vol 17 (1) ◽  
pp. 013101 ◽  
Author(s):  
Eshel Faraggi ◽  
Bernard S. Gerstman ◽  
Jinming Sun
Keyword(s):  

2014 ◽  
Vol 108 (2) ◽  
pp. 20009 ◽  
Author(s):  
M. Ostilli ◽  
W. Figueiredo
Keyword(s):  

2017 ◽  
Vol 96 (5) ◽  
Author(s):  
Emmanuel L. C. VI M. Plan ◽  
Stefano Musacchio ◽  
Dario Vincenzi

2015 ◽  
Vol 12 (09) ◽  
pp. 1550093 ◽  
Author(s):  
Asher Yahalom ◽  
Meir Lewkowicz ◽  
Jacob Levitan ◽  
Gil Elgressy ◽  
Lawrence Horwitz ◽  
...  

A necessary condition for the emergence of chaos is given. It is well known that the emergence of chaos requires a positive exponent which entails diverging trajectories. Here we show that this is not enough. An additional necessary condition for the emergence of chaos in the region where the trajectory of the system goes through, is that the product of the maximal positive exponent times, the duration in which the system configuration point stays in the unstable region should exceed unity. We give a theoretical analysis justifying this result and a few examples. We stress that the criterion suggested involves only local exponents and is not concerned with asymptotic defined exponents.


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